Results 151 to 160 of about 224,004 (328)

Effective Invasiveness Recognition of Imbalanced Data by Semi-Automated Segmentations of Lung Nodules. [PDF]

Biomedicines, 2023
Tung YC, Su JH, Liao YW, Lee YC, Chen BA, Huang HM, Jhang JJ, Hsieh HY, Tong YS, Cheng YF, Lai CH, Chang WC.   +11 more
europepmc   +1 more source

Value-Guided Adaptive Data Augmentation for Imbalanced Small Object Detection [PDF]

Haipeng Wang, Chenhong Sui, Fuhao Jiang, Shuai Li, Hao Liu, Ao Wang   +5 more
openalex   +1 more source

A Membership-Based Resampling and Cleaning Algorithm for Multi-Class Imbalanced Overlapping Data

, 2022
Tingting Ma, Shuxia Lu, Chen Jiang
openalex   +1 more source

High‐Rate FA‐Based Co‐Evaporated Perovskites: Understanding Rate Limitations and Practical Considerations to Overcome Their Impact

Advanced Functional Materials, EarlyView.
Vacuum‐based deposition is promising for perovskite solar cells to be successfully commercialized. However, co‐evaporation, the most common vapor phase deposition technique, suffers from very low deposition rates. In this work, we reveal that high deposition rates can lead to carbon flakes depositing into the perovskite absorber layers due to material ...
Thomas Feeney, Aleksandra Miaskiewicz, Julian Petry, Felix Laufer, Roja Singh, Stefanie Severin, Viktor Škorjanc, Alexander Diercks, Suresh Maniyarasu, Lars Korte, Steve Albrecht, Ulrich W. Paetzold, Marcel Roß, Paul Fassl   +13 more
wiley   +1 more source

Imbalanced data stream classification method with limited labels

大数据
Data stream classification is a crucial research area within data stream mining, with the core task of swiftly capturing concept drifts from real-time incoming data stream and promptly adjusting classification models.
LI Yanhong, LI Zhihua, ZHENG Jianxing, BAI Hexiang, GUO Xin   +4 more
doaj  

Predicting asthma using imbalanced data modeling techniques: Evidence from 2019 Michigan BRFSS data. [PDF]

PLoS One, 2023
Budhathoki N, Bhandari R, Bashyal S, Lee C.   +3 more
europepmc   +1 more source

The Dynamics of Interfacial Trap States in High‐Detectivity Near‐Infrared Photomultiplication Organic Photodetectors

Advanced Functional Materials, EarlyView.
Photomultiplication organic photodetectors (PM OPDs) are an attractive strategy for health‐monitoring. Here, PM‐OPDs are reported with a specific detectivity of 5.7 × 1012 Jones and external quantum efficiency values of 3500% under −10 V. The dynamics of carrier trapping in these devices are elucidated through trap selective spectroscopical techniques.
Marie Houot, Zhuoran Qiao, Beier Hu, Davide Nodari, Francesco Furlan, Filip Aniés, Yicheng Yang, Martin Heeney, Artem A. Bakulin, Nicola Gasparini   +9 more
wiley   +1 more source

Machine Learning-Based Screening for Potential Singlet Fission Chromophores: The Challenge of Imbalanced Data Sets. [PDF]

J Phys Chem Lett, 2023
Borislavov L, Nedyalkova M, Tadjer A, Aydemir O, Romanova J.   +4 more
europepmc   +1 more source

LIUBoost : Locality Informed Underboosting for Imbalanced Data\n Classification [PDF]

, 2017
Sajid Ahmed, Farshid Rayhan, Asif Mahbub, Rafsanjani Muhammod, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman   +6 more
openalex   +1 more source

Joint Learning of Temporal Models to Handle Imbalanced Data for Human Activity Recognition [PDF]

, 2020
Rebeen Ali Hamad, Longzhi Yang, Wai Lok Woo, Bo Wei   +3 more
openalex   +1 more source